The Best Way to do Topic Modeling in Python - Top2Vec Introduction and Tutorial

Join this channel to get access to perks:

If you enjoy this video, please subscribe.

If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it.

You can follow me at:

[abasisadegh]

Thank you very much for this video man, Is there a way to use pyLDAvis visualizations with top2vec?

[justinhuang]

Your killing it lately with these videos. Keep up the great work.

[pratikaraut]

hi! great video. is the dataset publicly available? if yes, could you please link it in the description?

[sjoerdbraaksma]

This is such a great find! What I am wondering is: Can you train a BERT sentencetransformer on a large set of documents spanning several projects, then have top2vec use these embeddings to make a topic model for each project (so basically, for each subset of the larger corpus)?

[dankchan]

can you show how to compare it to lda with topic information gain? or coherence score? something i’m curious to see

[Adrian_Marmy]

Dude, this video is awesome. Breaking things down seems to be your super power.... 👌

[dankchan]

I am a new subscriber and this .. was .. simply .. great! I wish there were more Top2Vec videos (ranging from beginner to advanced) . Keep up the excellent work. *hint* *hint* 🙂

[RedCloudServices]

How do you filter stop words and how does this compare to Bartopic

[lukechen]

Hi there, how would this work if there's multiple topics tagged to one line? Is it all mutually exclusive?

[cuneyttyler]

Nice video. But when I listed the words for each topic it shows stop words only - isn't it supposed to remove them in preprocessing stage?

[fetchthebattleaxe]

Great video! Do you know if top2vec has options for when you have a dataset too large to fit into RAM? I have a dataset that is something like 9gb of text that I've been trying to topic model with different methods, so I'd be curious to try this out. But I probably can't just load the whole thing into a list and pass it in

[juanmanuelaguiar]

Great video, very clear!
Do you know how Top2Vec deals with outliers? there is no 'outlier topic' at the end and all the documents seem to be assigned a topic. (I have BERTopic in mind where there is a -1 topic with the outliers)

[jordoobodi]

4:20
which is it!?
"Each word in that document, type, all th the items of that vector, all the documents.."

[tonyberber]

I'm getting this error:
from top2vec import Top2Vec
ImportError: cannot import name 'Top2Vec' from partially initialized module 'top2vec' (most likely due to a circular import)

any ideas are appreciated.

I'm using an M1 Mac

[JayShankarpure]

Hi sir I checked out your NER Playlist and had a doubt . How can we calculate accuracy of a ner model ?

[sinabaghaei]

so do you suggest working with Top2Vec rather than LDA? I mean do you think doing those manual changes in implementing LDA and data preprocessing worth it? or let's stick to Top2Vec. by the way your videos are awesome and I am really interested to go deep into Topic Modeling.

[patrykkoakowski]

How did you force the code to run on CPU?

[kosemekars]

Great vid, as always. I'm interested in creating my own WordNet dataset, any ideas where I should start?

[jshmo]

Thanks for a great video ! I installed top2vec and tried importing it it. I get following error 'No module named Any ideas

[amrmoursi]

Thanks, wish you my best to your channel, and CONGRATULATIONS,
How can we evaluate the topic modeling algo like top2vec or BerTopic
Thanks in advanced